Liquid AI's LFM2.5-350M: Big Performance, Tiny Model
Liquid AI releases a 350M parameter model trained on 28 trillion tokens with scaled reinforcement learning, challenging assumptions about what compact models can achieve.
Liquid AI releases a 350M parameter model trained on 28 trillion tokens with scaled reinforcement learning, challenging assumptions about what compact models can achieve.
A new framework called OneComp promises to compress generative AI models with a single line of code, potentially making diffusion and video generation models far more deployable at the edge.
New research shows LLM agents that self-organize without predefined roles or hierarchies consistently outperform carefully designed multi-agent structures across collaborative tasks.
A growing critique argues that popular LLM benchmarks suffer from deep methodological flaws — contamination, metric gaming, and poor real-world correlation — raising questions about how we evaluate AI.
AI video generation leader Runway has announced a $10M investment fund and Builders program targeting early-stage AI startups, signaling a strategic push to cultivate the next wave of creative AI tools and synthetic media innovation.
Rotary Position Embeddings power every major LLM, yet few tutorials show the actual matrix math. This deep dive walks through the linear algebra that makes modern transformers understand sequence order.
A technical breakdown of modern voice AI architecture reveals a three-layer 'sandwich' of ASR, LLM reasoning, and TTS synthesis — the same pipeline powering voice cloning and real-time conversational AI.
New research reveals how markdown-heavy training data creates detectable stylistic patterns in LLM output, offering insights for AI-generated text detection and digital authenticity verification.
New research reveals significant structural gaps in EU AI Act Article 50 transparency requirements for AI-generated content, raising questions about enforceability of labeling mandates for deepfakes and synthetic media.
As deepfake technology advances, unified communications platforms face growing risks from AI-generated voice and video impersonation, forcing enterprises to rethink security strategies.
Meta is leveraging a recent Supreme Court piracy ruling to argue that torrenting copyrighted data for AI training doesn't constitute infringement, in a case that could reshape how generative AI models are built.
As real-time deepfake video calls become more convincing, people are turning to surprisingly simple verification tests to catch AI-generated imposters before falling victim to fraud.